SimBiology 4.0
Latest Features
Version 4.0
Released: 1 Sep 2011Version 4.0, part of Release 2011b, includes the following enhancements:
- Parameter estimation performance and robustness enhancements
- Covariate modeling for nonlinear mixed-effect models
- Standard errors for nonlinear regression, including nonlinear mixed-effect models
- Sensitivity analysis for models with discontinuities
See the Release Notes for details.
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Version 3.4
Released: 8 Apr 2011Version 3.4, part of Release 2011a, includes the following enhancements:
- Redesigned desktop, supporting streamlined model-building workflow, iterative workflows, and comparison of analysis results
- Arbitrary time units for simulation time
- Parameter estimation of initial conditions for species and compartments
- Robust parameter estimation
- Calculation of weighted residuals for population-fitting tasks
See the Release Notes for details.
Version 3.3
Released: 3 Sep 2010Version 3.3, part of Release 2010b, includes the following enhancements:
- Support for error models when performing a population fit using the
sbionlmefitorsbionlmefitsafunction - Support for covariate analysis
- Ability to simultaneously fit multiple responses
- Support for incorporating time lags for doses into models
- Dimensionless units
See the Release Notes for details.
Version 3.2
Released: 5 Mar 2010Version 3.2, part of Release 2010a, includes the following enhancements:
- Stochastic approximation expectation-maximization (SAEM) algorithm for fitting of population data
- New mode for accelerating simulations
- Support for application of dosing schedules to a model
- Additional features for parameter fitting including parameter transformations, error models, and multiple dosing
- Improved support for importing NONMEM® formatted files
See the Release Notes for details.
Version 3.1
Released: 4 Sep 2009Version 3.1, part of Release 2009b, includes the following enhancements:
- Performance increase when repeatedly simulating a model with unchanged topology
- Enhanced desktop support for scanning, using Monte Carlo methods
- Support for copy and paste throughout the desktop
- Usability improvements for model building and debugging, including additional support for dynamically updated error indicators, M-lint indicators, and help for user-identified MATLAB code
- New functionality for reporting the status of a parameter fit when using nonlinear mixed effects
See the Release Notes for details.